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author | David Arroyo <darroyolpz@users.noreply.github.com> | 2020-08-14 15:30:45 +0100 |
---|---|---|
committer | GitHub <noreply@github.com> | 2020-08-14 15:30:45 +0100 |
commit | 6d406cc79786423ddfee4edf98061f7c67aca5cf (patch) | |
tree | ef2b248d57ff8998428a3e844e053017bddbc332 /binance-scraping-bot.py | |
parent | 862dbaa1cff5a19421c5806e80104b8a50f90629 (diff) |
New words added
TWT and Trust for possible token listing
Diffstat (limited to 'binance-scraping-bot.py')
-rw-r--r-- | binance-scraping-bot.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/binance-scraping-bot.py b/binance-scraping-bot.py index 10619e5..9d074d8 100644 --- a/binance-scraping-bot.py +++ b/binance-scraping-bot.py @@ -14,7 +14,7 @@ soup = BeautifulSoup(response.text, 'html.parser') news_list = soup.find_all(class_ = 'css-sbrje5')
# Create a bag of key words for getting matches
-key_words = ['list', 'token sale', 'open trading', 'opens trading', 'perpetual', 'FTX']
+key_words = ['list', 'token sale', 'open trading', 'opens trading', 'perpetual', 'FTX', 'twt', 'trust']
# Open old database file
path = "/home/pi/db.xlsx"
@@ -41,4 +41,4 @@ for news in news_list: # Export updated news to Excel
cols = ['Text', 'Link']
df = df.append(pd.DataFrame(updated_list, columns=cols), ignore_index = True)
-df.to_excel(path, index = False)
\ No newline at end of file +df.to_excel(path, index = False)
|